Exploring the impact of biosecurity measures on somatic cell score in mountain dairy farms considering the CLASSYFARM system.

Biosecurity plays a crucial role in preventing the introduction of infectious diseases to a herd as well as the spread of diseases within or between animals and herds. In particular, biosecurity measures are crucial for maintaining animal health and reducing the need for the application of antibiotic substances for fighting the rising antibiotic resistance. The object of this cross-sectional study was to investigate the presence of biosecurity measures and their association with milk quality parameters, with a special focus on somatic cell count (SCC) - an indicator for udder health -, in small-scale mountain dairy farms. Therefore, for the very first time, the CLASSYFARM system was considered, which is a computer platform integrated into the Italian national veterinary portal, that processes a significant amount of data from various sources collected in the field or from other information systems (e.g. animal welfare, health status, biosecurity, antimicrobial use, slaughterhouse information). A total of 169 dairy farms were included in the study. Biosecurity measures, based on 15 questions required in the CLASSYFARM welfare assessment protocol, as well as information about husbandry systems, milking systems and pasture practices were gathered and combined with milk yield data, provided by the South Tyrolean dairy association. Farms only scored 44.00 points on average in a scoring system from 0.00 to 100.00 points that was be able to summarize 15 different biosecurity measures in one index. Our results show a clear negative correlation (-0.713) between the biosecurity index and somatic cell score (SCS) indicating that a higher level of biosecurity, which reflects the presence of biosecurity measures within a farm, is associated with lower SCC levels. Furthermore, we found significant correlations between SCS and milk production (-0.629), confirming that udder health is linked to higher milk production. Fat, protein, and the fat-to-protein ratio showed a positive correlation with SCS (0.281, 0.146, 0.106), likely to be caused by a concentration shift effect (dilution effect). Husbandry system, breed, milking system, and pasture practices seem to have an impact as well, but the main factor was the biosecurity score. This study highlights the importance of implementing biosecurity measures for ensuring animal health and thus productivity and quality in milk production, even in small-scale farms, which are characterized by limited structure availability and smaller herds compared to big dairy enterprises in the lowlands.

Development of a benchmarking tool to assess the welfare of dairy cattle on small-scale farms.

Public concern about the welfare of farm animals and the livestock industry's awareness of the need to improve animal welfare have led to the implementation of new tools designed to meet this objective. Especially in the case of small-scale farms in marginalized areas, the lack of available data specifically for assessing welfare led to the present study. Its aim was to use animal- and resource-based indicators that are representative of small-scale farms, to establish an index and develop a benchmarking tool that can be used to dynamically evaluate the welfare of cattle on farms with different husbandry systems and provide farmers, veterinarians, extension officers, and stakeholders with reliable information that can be used as a decision support tool. For this reason, 1,891 cows from 204 herds housed in freestall (n = 111) and tiestall (n = 93) husbandry systems in South Tyrol (Northern Italy) were evaluated. The results showed that 17.6% of herds (36 farms) had an average score below 60 (out of 100), which means that immediate intervention should be adopted to improve welfare. South Tyrolean dairy farms performed well in terms of lameness, skin alterations, avoidance behavior, number and space of lying areas, and dystocia occurrence scores, whereas water supply, cow cleanliness status, claw conformation, and getting-up behavior offered significant potential for improvement. Significant differences were observed between housing systems scoring less than 60 out of 100 points in 9.9% (n = 11) and 26.9%, (n = 25), of the herds kept in freestalls and tiestalls, respectively. A slight difference was found when comparing the percentage of herds with high scores, which corresponded to 30.6% (n = 34) of herds housed in freestalls and 22.6% (n = 21) of herds housed in tiestall housing systems. In addition, it was shown that animals reared on farms with tiestalls more often had problems with body condition, cleanliness, and skin alterations. All individual welfare indicators in the top 25% of herds had scores above 80, indicating that this may be an attainable target for freestall and tiestall herds, respectively, to promote good dairy cow welfare. The overall aim must be to adopt measures to increase the scores on all farms closer to this level.

Vancomycin sorption on activated sludge Gram+ bacteria rather than on EPS; 3D Confocal Laser Scanning Microscopy time-lapse imaging.

Antibiotics-bacteria interactions depend on antibiotic concentration at the scale of bacteria. This study investigates how vancomycin penetrates into activated sludge flocs and can be sorbed on the bacteria and extracellular polymeric substances (EPS). The 3D structure of flocs was imaged using EPS autofluorescence. The green fluorescent BODIPY® FL vancomycin was introduced in a microscopic chamber containing activated sludge and penetration of vancomycin into the flocs by diffusion was observed using time-lapse microscopy. The penetration depended on the floc structure, as long and large pores could go through the whole flocs making preferential path. The antibiotic concentration into the flocs was also found to depend on the sorption rate. BODIPY® FL vancomycin was found to bind preferentially into Gram+ bacteria than on EPS. The vancomycin adsorption constant on bacteria according to the linear adsorption model, Kdbacteria was estimated to be 5 times higher (SD 2.6) than the adsorption constant on EPS KdEPS. These results suggest that antibiotic removal by sorption into wastewater treatment plants could change according to the amount of bacteria in the sludge. Moreover, antibiotic concentration at the scale of bacteria could be significantly higher than the concentration in the bulk solution and this should be taken into account when studying antibiotic activity or biodegradation.